yolo test Image Dataset
Versions
Head tail meng
v9
Jun 21, 2023
2023-05-24 3:30pm
v8
May 24, 2023
2023-05-24 2:45pm
v7
May 24, 2023
2023-05-22 7:34am
v6
May 22, 2023
2023-05-22 12:00am
v5
May 21, 2023
2023-05-21 10:53pm
v4
May 21, 2023
2023-05-21 9:52pm
v3
May 21, 2023
2023-05-20 11:16pm
v2
May 20, 2023
2023-05-20 11:00pm
v1
May 20, 2023
v9
Head tail meng
Generated on Jun 21, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
8838 Total Images
View All Images
Dataset Split
Train Set 80%
7083Images
Valid Set 12%
1072Images
Test Set 8%
683Images
Preprocessing
Resize: Stretch to 64x64
Augmentations
Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -20% and +20%
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
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